Bit Error Rate Simulation of a 2x2 MIMO System

This paper aims to simulate the bit error rate of a 2x2 MIMO system using MMSE-SIC detection at the receiver. The simulation typically involves implementing MATLAB or Python code to model the communication chain, including signal transmission through Rayleigh fading channels and noise addition. MIMO (Multiple-Input Multiple-Output) systems represent a multi-antenna technology that significantly enhances the transmission efficiency and reliability of wireless communication systems. In our simulated system configuration, two transmit antennas and two receive antennas are implemented in code to achieve higher data transmission rates and improved interference resistance. The bit error rate simulation evaluates system performance by modeling extensive data transmission and reception processes through numerical computation. The MMSE-SIC (Minimum Mean Square Error - Successive Interference Cancellation) detection algorithm is implemented as a key signal processing function that effectively suppresses interference signals in multipath transmission environments, thereby improving the system's BER performance. The algorithm implementation typically involves matrix operations for MMSE filtering followed by iterative interference cancellation steps. By conducting this MIMO system BER simulation with configurable parameters like SNR levels and modulation schemes (e.g., QPSK, 16-QAM), we can assess system performance under various settings and provide references for further research and optimization. The simulation code would normally include modules for channel matrix generation, signal detection algorithms, and BER calculation loops.